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基于概念分布的图像语义标注与检索 被引量:1

Concept Distribution-based Image Semantic Annotation and Retrieval
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摘要 基于概念分布进行检索是实现图像语义检索的方法之一。提出了基于概念分布的图像语义标注与检索方法。该方法首先对图像概念区域进行编码,在此基础上对概念区域进行标注。检索时用户可通过提交概念所在大概位置信息快速查找出与检索意图相近的图像。设计实现了图像语义标注与检索系统,证实了该方法的可行性。 Concept distribution-based image retrieval is one solution of image semantic retrieval. This paper proposes a method of image semantic annotation and retrieval based on concept distribution. By coding concept regions of image, it realizes annotation of image concept regions. Users can match the similar images by submitting the object's regions. In the end, an image semantic annotation and retrieval system is realized to prove the feasibility of the method.
出处 《武汉理工大学学报》 CAS CSCD 北大核心 2009年第18期172-174,共3页 Journal of Wuhan University of Technology
基金 国家自然科学基金项目(60802080) 国家863项目(2009AA01Z335)
关键词 概念分布 图像检索 语义标注 concept distribution image retrieval semantic annotation
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